conftrace_

partially observable markov decision process

178 papers

Explore in graph

Also known as

POMDP

Co-occurring keywords

reinforcement learning (4352) belief state (75) online planning (37) multi-agent system (1819) sequential decision making (215) bayesian inference (1907) partial observability (119) monte carlo tree search (271) policy learning (702) partially observable markov decision processes (7)

Papers

YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents ACL 2026
Neuro-Symbolic Agentic Reinforcement Learning for Long-Term Original Character Companionship and Interaction ACL 2026
MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization AAAI 2026
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026
Efficient Multiagent Planning via Shared Action Suggestions AAAI 2026
Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives AAAI 2026
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems AAAI 2025
Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling EMNLP 2025
Robust Finite-Memory Policy Gradients for Hidden-Model POMDPs IJCAI 2025
Map Space Belief Prediction for Manipulation-Enhanced Mapping RSS 2025
Partially Observable Reference Policy Programming IJCAI 2025
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach AAAI 2025
Real-Time Recurrent Reinforcement Learning AAAI 2025
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives AAAI 2025
Counterfactual Online Learning for Open-Loop Monte-Carlo Planning AAAI 2025
GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL AAAI 2025
Factored Online Planning in Many-Agent POMDPs AAAI 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning (Student Abstract) AAAI 2024
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice AAAI 2024
A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024
Belief-State Query Policies for User-Aligned POMDPs NIPS 2024
Approximate Control for Continuous-Time POMDPs AISTATS 2024
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints IJCAI 2024
Recurrent Reinforcement Learning with Memoroids NIPS 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024